Description

The Advanced Computing Solutions Group in the NLR Computational Science Center has an opening for a graduate student researcher in HPC with special emphasis on workflow I/O optimization. I/O operations on HPC systems frequently emerge as key performance bottlenecks, turning data storage and movement into a major challenge. The intern will help evaluate the performance and efficiency of I/O operations within scientific computing workflows. This project will examine the I/O behavior of representative NLR problems such as resource estimation (reV) and AI/ML training/inference based on spatial data with the goal of improving the throughput of data movement.

We are looking for a dynamic, motivated researcher with a strong technical background and an interest in the mission of NLR. The successful candidate will collaborate with NLR staff and researchers to optimize the performance of scientific workflows in HPC.

Responsibilities include:...